{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8d6a2671-71b3-48d7-8114-15b97af75094",
   "metadata": {},
   "outputs": [],
   "source": [
    "from os import system, listdir\n",
    "import numpy as np\n",
    "import random\n",
    "from ph_flow import get_supercell, phonon_force\n",
    "from plotband import read_banddata\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33e48e43-59b2-4f32-8629-ffde77d50880",
   "metadata": {},
   "source": [
    "* 1、 优化结构"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f00bf259-f57b-4705-b55d-03dcaafd6d49",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "-  running siesta opt ...\n",
      "-  Getting informations from directory /home/feng/mlff/cc/dwcnt/smd ...\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Job completed\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 优化结构\n",
    "system('./smd.py opt --s=200 --g=POSCAR.unitcell  --n=8 --l=0')\n",
    "system('cp in.fdf unitcell.fdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fef7192e-6743-4b1f-bb4a-182757661737",
   "metadata": {},
   "source": [
    "* 2 、先将结构文件转换为siesta输入文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8dcedf1e-0d63-49f9-8b22-046fd5d00f82",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "-  writing siesta input ...\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将结构文件转换为siesta输入文件\n",
    "system('./smd.py w --g=id_unitcell.traj')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe3c040a-3495-4239-868f-cdc0a7009be6",
   "metadata": {},
   "source": [
    "* 3 、生成位移文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5c1acd40-dbd2-4f98-86a6-7d083356bb5a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        _\n",
      "  _ __ | |__   ___  _ __   ___   _ __  _   _\n",
      " | '_ \\| '_ \\ / _ \\| '_ \\ / _ \\ | '_ \\| | | |\n",
      " | |_) | | | | (_) | | | | (_) || |_) | |_| |\n",
      " | .__/|_| |_|\\___/|_| |_|\\___(_) .__/ \\__, |\n",
      " |_|                            |_|    |___/\n",
      "                                      2.21.0\n",
      "\n",
      "Compiled with OpenMP support (max 24 threads).\n",
      "Python version 3.11.6\n",
      "Spglib version 2.2.0\n",
      "\n",
      "Calculator interface: siesta\n",
      "Crystal structure was read from \"in.fdf\".\n",
      "Unit of length: au\n",
      "Displacements creation mode\n",
      "Displacement distance: 0.01\n",
      "Settings:\n",
      "  Supercell: [8 8 1]\n",
      "Spacegroup: P-1 (2)\n",
      "Use -v option to watch primitive cell, unit cell, and supercell structures.\n",
      "\n",
      "\"phonopy_disp.yaml\" and supercells have been created.\n",
      "\n",
      "Summary of calculation was written in \"phonopy_disp.yaml\".\n",
      "                 _\n",
      "   ___ _ __   __| |\n",
      "  / _ \\ '_ \\ / _` |\n",
      " |  __/ | | | (_| |\n",
      "  \\___|_| |_|\\__,_|\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 生成位移文件\n",
    "try:\n",
    "   system('rm supercell-00*.fdf')\n",
    "except:\n",
    "   pass\n",
    "system('phonopy --siesta -c=in.fdf -d --dim=\"8 8 1\" --amplitude=0.01')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a2a2957-c758-4476-8d3c-8212bfcc89e8",
   "metadata": {},
   "source": [
    "* 4 、计算每个位移文件受力"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0785d0f2-2774-46b1-a8b0-82803e241a6d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-  calculating structure 1 ...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Job completed\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-  calculating structure 2 ...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Job completed\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-  calculating structure 3 ...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Job completed\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-  calculating structure 4 ...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Job completed\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-  calculating structure 5 ...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Job completed\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-  calculating structure 6 ...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Job completed\n"
     ]
    }
   ],
   "source": [
    "n = get_supercell()\n",
    "# 计算每个位移文件受力\n",
    "for i in range(n):\n",
    "    phonon_force(i+1,'siesta',8)\n",
    "# system('cp force.0 lammps_forces_gp.0')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8c8bbde-042c-42b7-88d7-b77f89e39736",
   "metadata": {},
   "source": [
    "* 5、画出声子色散曲线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6d2192c6-0598-4d1c-82ae-5cb354668c21",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        _\n",
      "  _ __ | |__   ___  _ __   ___   _ __  _   _\n",
      " | '_ \\| '_ \\ / _ \\| '_ \\ / _ \\ | '_ \\| | | |\n",
      " | |_) | | | | (_) | | | | (_) || |_) | |_| |\n",
      " | .__/|_| |_|\\___/|_| |_|\\___(_) .__/ \\__, |\n",
      " |_|                            |_|    |___/\n",
      "                                      2.21.0\n",
      "\n",
      "Compiled with OpenMP support (max 24 threads).\n",
      "Python version 3.11.6\n",
      "Spglib version 2.2.0\n",
      "\n",
      "Calculator interface: siesta\n",
      "Displacements were read from \"phonopy_disp.yaml\".\n",
      "1. Drift force of \"Forces-001.FA\" to be subtracted\n",
      "  0.00002513   0.00124125  -0.00003188\n",
      "2. Drift force of \"Forces-002.FA\" to be subtracted\n",
      " -0.00021198   0.00135637  -0.00002877\n",
      "3. Drift force of \"Forces-003.FA\" to be subtracted\n",
      " -0.00013444   0.00125179  -0.00003120\n",
      "4. Drift force of \"Forces-004.FA\" to be subtracted\n",
      " -0.00001160   0.00136984  -0.00003023\n",
      "5. Drift force of \"Forces-005.FA\" to be subtracted\n",
      " -0.00000912   0.00126800  -0.00003165\n",
      "6. Drift force of \"Forces-006.FA\" to be subtracted\n",
      " -0.00000107   0.00126820  -0.00003076\n",
      "\"FORCE_SETS\" has been created.\n",
      "                 _\n",
      "   ___ _ __   __| |\n",
      "  / _ \\ '_ \\ / _` |\n",
      " |  __/ | | | (_| |\n",
      "  \\___|_| |_|\\__,_|\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 创建力常数文件\n",
    "fs = ['Forces-00{:d}.FA'.format(i) for i in range(1,n+1)]\n",
    "fs = ' '.join(fs)\n",
    "system('phonopy -f {:s} --siesta'.format(fs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c1287e4d-280b-4d68-bd01-861ef3c3d26c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        _\n",
      "  _ __ | |__   ___  _ __   ___   _ __  _   _\n",
      " | '_ \\| '_ \\ / _ \\| '_ \\ / _ \\ | '_ \\| | | |\n",
      " | |_) | | | | (_) | | | | (_) || |_) | |_| |\n",
      " | .__/|_| |_|\\___/|_| |_|\\___(_) .__/ \\__, |\n",
      " |_|                            |_|    |___/\n",
      "                                      2.21.0\n",
      "\n",
      "Compiled with OpenMP support (max 24 threads).\n",
      "Python version 3.11.6\n",
      "Spglib version 2.2.0\n",
      "\n",
      "Calculator interface: siesta\n",
      "Crystal structure was read from \"unitcell.fdf\".\n",
      "Unit of length: au\n",
      "Band structure mode\n",
      "Settings:\n",
      "  Supercell: [8 8 1]\n",
      "Spacegroup: P-1 (2)\n",
      "Use -v option to watch primitive cell, unit cell, and supercell structures.\n",
      "\n",
      "Forces and displacements were read from \"FORCE_SETS\".\n",
      "Computing force constants...\n",
      "Max drift of force constants: 0.022283 (yx) 0.000001 (yy)\n",
      "\n",
      "Reciprocal space paths in reduced coordinates:\n",
      "[ 0.000  0.000  0.000] --> [ 0.250  0.000  0.000]\n",
      "[ 0.250  0.000  0.000] --> [ 0.500  0.000  0.000]\n",
      "[ 0.500  0.000  0.000] --> [ 0.667 -0.333  0.500]\n",
      "[ 0.667 -0.333  0.500] --> [ 0.333 -0.167  0.000]\n",
      "[ 0.333 -0.167  0.000] --> [ 0.000  0.000  0.000]\n",
      "Figure(640x480)\n",
      "\n",
      "Summary of calculation was written in \"phonopy.yaml\".\n",
      "                 _\n",
      "   ___ _ __   __| |\n",
      "  / _ \\ '_ \\ / _` |\n",
      " |  __/ | | | (_| |\n",
      "  \\___|_| |_|\\__,_|\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 画出声子色散曲线\n",
    "system('phonopy --siesta -c unitcell.fdf -p --dim=\"8 8 1\" --band=\"0.0 0.0 0.0 1/4 0.0 0.0  0.5 0.0 0.0  2/3 -1/3 1/2 1/3 -1/6 0.0  0.0 0.0 0.0\"')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "933a146b-afb9-464e-acf7-4a5facd30e7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "256"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "system('phonopy-bandplot --gnuplot band.yaml > band.dat')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe138ba9-8304-445a-a10f-e71208e0757e",
   "metadata": {},
   "source": [
    "* 6、进行对比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c9897e7e-ec37-4b49-9994-83388e3a949b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 对数据重命名\n",
    "system('mv band.dat band-{:s}.dat'.format('siesta'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "247906ea-c60a-4571-8e67-3d9a354c77eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_plot_data(data):\n",
    "    X   = []\n",
    "    Y   = []\n",
    "    \n",
    "    for db in data:\n",
    "        #print(db)\n",
    "        if len(db)==0: continue\n",
    "        db = np.array(db)\n",
    "        n = len(db[:,0])\n",
    "        x = db[:,0]#*unit\n",
    "        y = db[:,1]#*yunit\n",
    "        \n",
    "        index_ = random.sample(range(n),20)\n",
    "        x     = x[index_]\n",
    "        y     = y[index_]\n",
    "        # ax.plot(x,y,color='r',label='ReaxFF-nn')\n",
    "        X.extend(x)\n",
    "        Y.extend(y)\n",
    "    return X,Y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "557f9889-d9e3-4002-a6c4-cb81a1b8da22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画图\n",
    "# data_nn   = read_banddata('band-nn-gulp.dat')\n",
    "data_qe   = read_banddata('band-siesta.dat')\n",
    "# data_quip = read_banddata('band-quip.dat')\n",
    "# data_dp = read_banddata('band-dp.dat')\n",
    "\n",
    "plt.figure(figsize=(8,6))\n",
    "plt.grid(visible=True,which='major',axis='x',color='r',lw=1)\n",
    "ax = plt.subplot()\n",
    "ax.set_ylabel(r\"$Frequency$ ($THz$)\", weight=\"medium\",fontdict={\"fontsize\":18})\n",
    "ax.set_xticks([0.00000000, 0.12362750, 0.19554850, 0.34])\n",
    "ax.set_xticklabels([r\"$\\Gamma$\", r\"$M$\", r\"$K$\", r\"$\\Gamma$\"])\n",
    "plt.xticks(fontsize=25)\n",
    "\n",
    "X, Y = get_plot_data(data_qe)\n",
    "xmax= np.max(X)\n",
    "ymax= np.max(Y)\n",
    "\n",
    "ax.scatter(X,Y,marker='o',color='none',edgecolors='b',s=10,label='DFT(Siesta)')\n",
    "\n",
    "plt.xlim((0, xmax+0.001))\n",
    "plt.ylim((0., ymax+5.0))\n",
    "plt.legend(loc='upper center',ncol=2,edgecolor='yellowgreen',fontsize=16)\n",
    "plt.tight_layout()\n",
    "# plt.savefig(\"band.pdf\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
